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Data Engineer - Senior

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Leidos
Full Time position
Listed on 2026-05-20
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Overview

The Intel Security Sector at Leidos currently has an opening for a Senior Data Engineer. Are you a Data Engineer that likes to work with big data to produce analysis and visualizations? Would you like to support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics? If so, you will be delivering advanced data engineering capabilities to push forward national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to presentations with actionable intelligence insights.

This position will be located at one of our customer sites in Bethesda, MD;
Reston, VA; or Joint Base Anacostia‑Bolling, DC.

Responsibilities
  • Work closely with a tight‑knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to produce and clean large databases, provide data processing, ensure data quality, integrate large data with applications, prepare data visualizations and produce dashboards using state‑of‑the‑art tools, and AI/ML techniques.
  • Apply software engineering and ETL principles to ensure data accuracy, quality, consistency, and scalability.
  • Integrate COTS and customer‑developed tools within existing data frameworks to meet operational and analytical requirements.
  • Collaborate with Data Ops teams to prepare, automate, and optimize data workflows for real‑time analytics.
  • Work on projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.
  • Support multiple simultaneous projects and take open‑ended or high‑level guidance, independently and collaboratively.
  • Provide data preprocessing, quality checks, data integration, and visualization creation.
  • Develop dashboards with tools like Tableau or Power BI and apply AI/ML modules to structured and unstructured data analysis.
Clearance Required
  • Active TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.
Required Experience, Skills, And Education
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline.
  • Minimum 8 years of experience in the field with at least part of the experience within the last 2 years.
  • Active TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.
  • Due to the nature of the government contracts we support, US Citizenship is required.
  • Proven experience in designing and implementing data pipelines and architectures.
  • Experience with data quality monitoring tools and processes.
  • Excellent communication and interpersonal skills.
  • Experience developing and maintaining enterprise‑scale data pipelines in cloud environments (AWS, Azure, or GCP).
  • Experience implementing ETL/ELT processes and data orchestration frameworks.
  • Strong knowledge of ETL processes and data integration techniques.
  • Experience working with structured and unstructured data sources, including APIs, streaming platforms, and relational/non‑relational databases.
  • Experience designing data models to support AI, ML, and advanced analytics use cases.
  • Experience contributing to data product design within a modern data platform architecture.
  • Proficiency in one or more scripting languages such as R or Python.
  • Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy‑to‑use algorithms and analytical platforms.
  • Previous experience performing research and development in data analytics or big data.
  • Track record of active learning and creative problem solving.
  • Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost‑effective solutions.
Preferred Experience , Skills, And Education
  • Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline. Or, as a substitute to the Master’s degree a Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 5 years of related senior experience,…
Position Requirements
10+ Years work experience
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